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Abstract

Summary

A key feature of FWI is the misfit function that considers the point-to-point difference between the observed data and the calculated data, to provide high-resolution imaging using a local optimization approach. However, in the case of slow surface waves propagating in the low velocity medium of the near surface, cycle-skipping can occur, and the optimization may be locked in a local minimum. More robust misfit functions have recently been proposed with the aim of mitigating this problem for surface waves, integrating recipes used for 1D surface wave analysis in FWI and moving to misfit functions in alternative domains. The aim of this study is to define the gradient expression of such misfit functions through a generic adjoint formalism and to present a simple synthetic example showing the more robust behavior of these approaches compared to the classical FWI approach.

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/content/papers/10.3997/2214-4609.20141407
2014-06-16
2024-04-29

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References

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Generic Gradient Expression for Robust FWI of Surface Waves
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141407
/content/papers/10.3997/2214-4609.20141407
/content/papers/10.3997/2214-4609.20141407
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